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Fixed Wing (F10) Autonomy Engineer Intern

Skydio

Fixed Wing (F10) Autonomy Engineer Intern

Skydio

San Mateo, California, United States

·

On-site

·

Internship

·

1w ago

Compensation

$97,760 - $120,544

Required Skills

C++

Python

Software engineering

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios and beyond.

About the role:

If you have a strong foundation in math, theory, and software development and you are interested in helping develop Skydio’s robotically launched and caught fixed wing (F10 https://www.skydio.com/f10), we would love to hear from you.

You will be paired up with one or more members of our core team and take ownership of a core project to bring the F10 from prototype to product.

How you'll make an impact:

  • Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today

  • Research, prototype, and generally assess the feasibility of new approaches

  • Imagine and then implement new features that unlock magic for our users

  • Characterize and quantify the performance of core components of the software and hardware stack

What makes you a good fit:

  • Demonstrated enthusiasm for one or more of the following: motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, tools/infrastructure, mobile

  • Solid software engineering foundation and a commitment to writing clean, well-architected code

  • High proficiency in C++ and Python

  • Ability to thrive in a fast-paced, collaborative, small team environment

Compensation Range: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience.

For some positions the pay may be dependent upon the individual's regional location.

At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

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About Skydio

Skydio

Skydio

Series D

Skydio develops autonomous drones that use computer vision and AI for obstacle avoidance and navigation. The company creates drones for consumer, enterprise, and defense applications.

201-500

Employees

San Mateo

Headquarters

$2.2B

Valuation

Reviews

3.9

15 reviews

Work Life Balance

2.5

Compensation

2.0

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Interesting product and technology

Hybrid/remote work flexibility

Career growth potential in startup environment

Cons

Uncertain compensation structure

Concerning Glassdoor reviews

Questions about company survival (Series-E funding concerns)

Salary Ranges

0 data points

Entry Level

Junior/L3

L3

Entry Level · Product Manager

0 reports

$170,000

total / year

Base

$170,000

Stock

-

Bonus

-

$144,500

$195,500

Interview Experience

5 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Presentation Round

5

Onsite/Virtual Interviews

6

Final Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Machine Learning/AI